Department for Environmental Science, Stockholm University, Stockholm, Sweden.
Department of Chemistry and Biology, Toronto Metropolitan University, Toronto, Canada.
Environ Sci Process Impacts. 2022 Aug 17;24(8):1133-1143. doi: 10.1039/d2em00103a.
The environmental risk assessment of UVCBs (, substances of unknown or variable composition, complex reaction products, or biological materials) is challenging due to their inherent complexity. A particular problem is that UVCBs can contain constituents with unidentified chemical structures and/or have variable composition of constituents from batch to batch. Moreover, the composition of a UVCB in the environment is not the same as that of the UVCB in a product, meaning that a risk assessment based on environmental exposure to the UVCB in a product does not represent the actual environmental risk. Here we propose an fate-directed risk assessment framework for UVCBs using cedarwood oil as a case study. The framework uses Monte Carlo simulations and the mass-balance models SimpleTreat and RAIDAR to provide quantitative information on whether unidentified constituents within the physical-chemical property space of a UVCB can be the decisive factor for the environmental risk of the entire UVCB. Thereby the framework provides a robust decision tool to evaluate if a UVCB risk assessment requires additional tests or if the data on known constituents is representative for the risk of the entire UVCB. In the case of cedarwood oil, it could be shown that a risk assessment based on the known constituents (representing around 70% of the overall UVCB by weight) is representative for the environmental risk of the entire UVCB - reducing the need for additional testing and test animals.
UVCB(成分不明或可变的物质、复杂反应产物或生物材料)的环境风险评估具有挑战性,因为它们具有内在的复杂性。一个特别的问题是,UVCB 可能含有化学结构不明的成分,或者其成分在批次之间具有可变性。此外,环境中 UVCB 的组成与产品中 UVCB 的组成不同,这意味着基于产品中 UVCB 对环境的暴露进行的风险评估并不能代表实际的环境风险。在这里,我们提出了一种使用雪松木油作为案例研究的针对 UVCB 的基于命运的风险评估框架。该框架使用蒙特卡罗模拟和 SimpleTreat 和 RAIDAR 质量平衡模型,提供有关 UVCB 物理化学特性空间内未知成分是否可以成为整个 UVCB 环境风险的决定性因素的定量信息。从而,该框架提供了一个强大的决策工具,用于评估是否需要对 UVCB 风险评估进行额外的测试,或者已知成分的数据是否代表整个 UVCB 的风险。在雪松木油的情况下,可以证明基于已知成分(按重量计约占整个 UVCB 的 70%)的风险评估可以代表整个 UVCB 的环境风险——减少了对额外测试和测试动物的需求。